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Measuring and modelling stomatal conductance and photosynthesis in mature birch in Sweden

Uddling, Johan; Hall, Marianne LU ; Wallin, Göran and Karlsson, Per Erik (2005) In Agricultural and Forest Meteorology 132(1-2). p.115-131
Abstract
Stomatal conductance (gs), net photosynthesis (An) and twig water potential (Ct) were measured in mature silver birch (Betula pendula) during 3 years in southern Sweden. Measurements from 2 years were used to parameterise three different gs models and measurements from a 3rd year were used to validate these models. Two different multiplicative stomatal models were used. In one of these, the gs response function for the water vapour pressure deficit (D) was fixed, while in the other the gs sensitivity to D increased with the accumulated time after sunrise with D above a certain threshold value. Furthermore, one combined stomatal-photosynthesis model (L-model) was used. The L-model was run either by using observations of photosynthesis as... (More)
Stomatal conductance (gs), net photosynthesis (An) and twig water potential (Ct) were measured in mature silver birch (Betula pendula) during 3 years in southern Sweden. Measurements from 2 years were used to parameterise three different gs models and measurements from a 3rd year were used to validate these models. Two different multiplicative stomatal models were used. In one of these, the gs response function for the water vapour pressure deficit (D) was fixed, while in the other the gs sensitivity to D increased with the accumulated time after sunrise with D above a certain threshold value. Furthermore, one combined stomatal-photosynthesis model (L-model) was used. The L-model was run either by using observations of photosynthesis as input data, or by predicting gs and photosynthesis simultaneously from environmental data. The model used to predict photosynthesis was parameterised from measurements of the photosynthetic responses to the photosynthetically active radiation, CO2 and temperature. The stomatal response functions of the L-model were parameterised using observations of

photosynthesis as input data in order to make them independent of the performance of the photosynthesis model. The difference in model performance between the two multiplicative models was relatively small. The multiplicative stomatal models and the L-model were similarly successful in predicting gs when the L-model was driven by observations of photosynthesis. However, the L-model was considerably less successful when photosynthesis was predicted. Photosynthesis was systematically under- and overestimated at high and low Ct, respectively, causing errors in the prediction of gs. In most situations, measurements of photosynthesis are not available and gs must be predicted from environmental data. In such cases, we conclude that the two multiplicative models are more successful in predicting gs in mature silver birch than the combined stomatal-photosynthesis model. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
stomatal conductance, photosynthesis, Betula pendula, modelling, water potential
in
Agricultural and Forest Meteorology
volume
132
issue
1-2
pages
115 - 131
publisher
Elsevier
external identifiers
  • scopus:24944583969
ISSN
1873-2240
DOI
10.1016/j.agrformet.2005.07.004
language
English
LU publication?
no
id
df128317-0e79-435a-a881-1146450f9c07 (old id 4936314)
date added to LUP
2015-01-27 13:47:14
date last changed
2017-07-02 04:25:57
@article{df128317-0e79-435a-a881-1146450f9c07,
  abstract     = {Stomatal conductance (gs), net photosynthesis (An) and twig water potential (Ct) were measured in mature silver birch (Betula pendula) during 3 years in southern Sweden. Measurements from 2 years were used to parameterise three different gs models and measurements from a 3rd year were used to validate these models. Two different multiplicative stomatal models were used. In one of these, the gs response function for the water vapour pressure deficit (D) was fixed, while in the other the gs sensitivity to D increased with the accumulated time after sunrise with D above a certain threshold value. Furthermore, one combined stomatal-photosynthesis model (L-model) was used. The L-model was run either by using observations of photosynthesis as input data, or by predicting gs and photosynthesis simultaneously from environmental data. The model used to predict photosynthesis was parameterised from measurements of the photosynthetic responses to the photosynthetically active radiation, CO2 and temperature. The stomatal response functions of the L-model were parameterised using observations of<br/><br>
photosynthesis as input data in order to make them independent of the performance of the photosynthesis model. The difference in model performance between the two multiplicative models was relatively small. The multiplicative stomatal models and the L-model were similarly successful in predicting gs when the L-model was driven by observations of photosynthesis. However, the L-model was considerably less successful when photosynthesis was predicted. Photosynthesis was systematically under- and overestimated at high and low Ct, respectively, causing errors in the prediction of gs. In most situations, measurements of photosynthesis are not available and gs must be predicted from environmental data. In such cases, we conclude that the two multiplicative models are more successful in predicting gs in mature silver birch than the combined stomatal-photosynthesis model.},
  author       = {Uddling, Johan and Hall, Marianne and Wallin, Göran and Karlsson, Per Erik},
  issn         = {1873-2240},
  keyword      = {stomatal conductance,photosynthesis,Betula pendula,modelling,water potential},
  language     = {eng},
  number       = {1-2},
  pages        = {115--131},
  publisher    = {Elsevier},
  series       = {Agricultural and Forest Meteorology},
  title        = {Measuring and modelling stomatal conductance and photosynthesis in mature birch in Sweden},
  url          = {http://dx.doi.org/10.1016/j.agrformet.2005.07.004},
  volume       = {132},
  year         = {2005},
}